Yano Shade-Alexander

Experimental Learning of a Lift-Maximizing Central Pattern Generator for a Flapping Robotic Wing

In this work, we present an application of a policy gradient algorithm to a real-time robotic learning problem, where the goal is to maximize the average lift generation of a dynamically scaled robotic wing at a constant Reynolds number (Re). Compared to our previous work, the merit of this work is…